A new working paper by Otis, Delecourt, Cranney & Koning (2024โ2025) reveals a troubling global trend:
Across 18 studies and data from 140,000+ participants (plus a focused experiment in Kenya), women are 25% less likely than men to use generative AI tools like ChatGPT and Claude.
This gap is consistent across countries, sectors, and education levels. Even when access is equal, the gap remains.
๐ช๐ต๐ ๐ฎ๐ฟ๐ฒ ๐๐ผ๐บ๐ฒ๐ป ๐ต๐ผ๐น๐ฑ๐ถ๐ป๐ด ๐ฏ๐ฎ๐ฐ๐ธ?
โข Ethical concerns โ fear of being seen as โcheatingโ
โข Social pressure โ fear of judgment
โข Confidence โ less comfort and familiarity with the tools.
๐ง๐ต๐ฒ ๐ฐ๐ฎ๐ฟ๐ฒ๐ฒ๐ฟ ๐ถ๐บ๐ฝ๐ฎ๐ฐ๐:
โข Missed productivity and tech-related advantages
โข Risk of widening pay and opportunity gaps
โข AI trained mostly on male input could reinforce gender bias.
๐ช๐ต๐ฎ๐ ๐ป๐ฒ๐ฒ๐ฑ๐ ๐๐ผ ๐ฐ๐ต๐ฎ๐ป๐ด๐ฒ?
โข Equal access is not enough โ workplace culture must support AI exploration
โข Encourage trial and error
โข Normalize AI use and provide inclusive training environments.
If women donโt engage with AI now, the gender gap in the workplace could grow even wider.
๐ Read the full paper here: https://lnkd.in/dUBvw_gC